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Article

A novel clinical decision support system using improved adaptive genetic algorithm for the assessment of fetal well-being.

Computational and mathematical methods in medicine - 1 Jan 2015

Ravindran Sindhu, Jambek Asral Bahari, Muthusamy Hariharan, Neoh Siew-Chin

Abstract excerpt

A novel clinical decision support system is proposed in this paper for evaluating the fetal well-being from the cardiotocogram (CTG) dataset through an Improved Adaptive Genetic Algorithm (IAGA) and Extreme Learning Machine (ELM). IAGA employs a new scaling technique (called sigma scaling) to avoid premature convergence and applies adaptive crossover and mutation techniques with masking concepts to enhance...

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Identifiers

PMID: 25793009
DOI: 10.1155/2015/283532
PMCID: PMC4352501

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026. Manifest publication-graph-cohort-2026-09-06.1.

Source receipt: pubmed, retrieved 6 Sept 2026.

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